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Abstract

The goal of this study, based on data collected through community surveys and visitors’ surveys, is to determine and analyze factors impacting returns from rural tourism. Our first model shows that age of event, median family income, and hired labor have a significant impact on the revenues collected from tourism events. Furthermore, it shows brochures and flyers to be the most effective form of advertisement. The second multivariate regression model proves that traveling greater distances, staying overnight at a hotel, and plans for visiting surrounding areas contribute positively and significantly to higher individual expenditures by tourists.

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